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Daniel Keim is a prominent figure in the field of data visualization and interactive data analysis. He has made significant contributions to understanding the foundations, techniques, and applications of data visualization, which are crucial for interpreting complex datasets effectively. His work emphasizes the importance of visual representation in conveying information, especially in the context of public health and resilience during crises like the COVID-19 pandemic. Keim's research investigates how visualization can aid in decision-making and enhance comprehension of intricate data patterns.

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